Literature DB >> 21182970

DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease.

Gwenaëlle Douaud1, Saâd Jbabdi, Timothy E J Behrens, Ricarda A Menke, Achim Gass, Andreas U Monsch, Anil Rao, Brandon Whitcher, Gordon Kindlmann, Paul M Matthews, Stephen Smith.   

Abstract

Though mild cognitive impairment is an intermediate clinical state between healthy aging and Alzheimer's disease (AD), there are very few whole-brain voxel-wise diffusion MRI studies directly comparing changes in healthy control, mild cognitive impairment (MCI) and AD subjects. Here we report whole-brain findings from a comprehensive study of diffusion tensor indices and probabilistic tractography obtained in a very large population of healthy controls, MCI and probable AD subjects. As expected from the literature, all diffusion indices converged to show that the cingulum bundle, the uncinate fasciculus, the entire corpus callosum and the superior longitudinal fasciculus are the most affected white matter tracts in AD. Significant differences between MCI and AD were essentially confined to the corpus callosum. More importantly, we introduce for the first time in a degenerative disorder an application of a recently developed tensor index, the "mode" of anisotropy, as well as probabilistic crossing-fibre tractography. The mode of anisotropy specifies the type of anisotropy as a continuous measure reflecting differences in shape of the diffusion tensor ranging from planar (e.g., in regions of crossing fibres from two fibre populations of similar density or regions of "kissing" fibres) to linear (e.g., in regions where one fibre population orientation predominates), while probabilistic crossing-fibre tractography allows to accurately trace pathways from a crossing-fibre region. Remarkably, when looking for whole-brain diffusion differences between MCI patients and healthy subjects, the only region with significant abnormalities was a region of crossing fibres in the centrum semiovale, showing an increased mode of anisotropy. The only white matter region demonstrating a significant difference in correlations between neuropsychological scores and a diffusion measure (mode of anisotropy) across the three groups was the same region of crossing fibres. Further examination using probabilistic tractography established explicitly and quantitatively that this previously unreported increase of mode and co-localised increase of fractional anisotropy was explained by a relative preservation of motor-related projection fibres (at this early stage of the disease) crossing the association fibres of the superior longitudinal fasciculus. These findings emphasise the benefit of looking at the more complex regions in which spared and affected pathways are crossing to detect very early alterations of the white matter that could not be detected in regions consisting of one fibre population only. Finally, the methods used in this study may have general applicability for other degenerative disorders and, beyond the clinical sphere, they could contribute to a better quantification and understanding of subtle effects generated by normal processes such as visuospatial attention or motor learning.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21182970      PMCID: PMC7116583          DOI: 10.1016/j.neuroimage.2010.12.008

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  59 in total

1.  Loss of connectivity in Alzheimer's disease: an evaluation of white matter tract integrity with colour coded MR diffusion tensor imaging.

Authors:  S E Rose; F Chen; J B Chalk; F O Zelaya; W E Strugnell; M Benson; J Semple; D M Doddrell
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-10       Impact factor: 10.154

2.  Diffusion indices on magnetic resonance imaging and neuropsychological performance in amnestic mild cognitive impairment.

Authors:  S E Rose; K L McMahon; A L Janke; B O'Dowd; G de Zubicaray; M W Strudwick; J B Chalk
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-06-05       Impact factor: 10.154

3.  Segmentation of subcomponents within the superior longitudinal fascicle in humans: a quantitative, in vivo, DT-MRI study.

Authors:  Nikos Makris; David N Kennedy; Sean McInerney; A Gregory Sorensen; Ruopeng Wang; Verne S Caviness; Deepak N Pandya
Journal:  Cereb Cortex       Date:  2004-12-08       Impact factor: 5.357

4.  Diffusion anisotropy and diffusivity of white matter tracts within the temporal stem in Alzheimer disease: evaluation of the "tract of interest" by diffusion tensor tractography.

Authors:  T Taoka; S Iwasaki; M Sakamoto; H Nakagawa; A Fukusumi; K Myochin; S Hirohashi; T Hoshida; K Kichikawa
Journal:  AJNR Am J Neuroradiol       Date:  2006-05       Impact factor: 3.825

Review 5.  Mild cognitive impairment and the 7 uses of epidemiology.

Authors:  Mary Ganguli
Journal:  Alzheimer Dis Assoc Disord       Date:  2006 Jul-Sep       Impact factor: 2.703

6.  Fiber connections between the cerebral cortex and the corpus callosum in Alzheimer's disease: a diffusion tensor imaging and voxel-based morphometry study.

Authors:  Djyldyz Sydykova; Robert Stahl; Olaf Dietrich; Michael Ewers; Maximilian F Reiser; Stefan O Schoenberg; Hans-Jürgen Möller; Harald Hampel; Stefan J Teipel
Journal:  Cereb Cortex       Date:  2006-12-12       Impact factor: 5.357

7.  Potential role of diffusion tensor MRI in the differential diagnosis of mild cognitive impairment and Alzheimer's disease.

Authors:  Daniella B Parente; Emerson L Gasparetto; Luiz Celso Hygino da Cruz; Roberto Cortes Domingues; Ana Célia Baptista; Antônio Carlos Pires Carvalho; Romeu Cortes Domingues
Journal:  AJR Am J Roentgenol       Date:  2008-05       Impact factor: 3.959

8.  Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease.

Authors:  Julio Acosta-Cabronero; Guy B Williams; George Pengas; Peter J Nestor
Journal:  Brain       Date:  2009-11-13       Impact factor: 13.501

9.  Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging.

Authors:  Denise Head; Randy L Buckner; Joshua S Shimony; Laura E Williams; Erbil Akbudak; Thomas E Conturo; Mark McAvoy; John C Morris; Abraham Z Snyder
Journal:  Cereb Cortex       Date:  2004-04       Impact factor: 5.357

10.  Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease.

Authors:  G B Karas; P Scheltens; S A R B Rombouts; P J Visser; R A van Schijndel; N C Fox; F Barkhof
Journal:  Neuroimage       Date:  2004-10       Impact factor: 6.556

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  218 in total

1.  Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer's disease deficits.

Authors:  Talia M Nir; Neda Jahanshad; Julio E Villalon-Reina; Dmitry Isaev; Artemis Zavaliangos-Petropulu; Liang Zhan; Alex D Leow; Clifford R Jack; Michael W Weiner; Paul M Thompson
Journal:  Magn Reson Med       Date:  2017-03-07       Impact factor: 4.668

2.  Reduced interhemispheric inhibition in mild cognitive impairment.

Authors:  Ryosuke Tsutsumi; Ritsuko Hanajima; Masashi Hamada; Yuichiro Shirota; Hideyuki Matsumoto; Yasuo Terao; Shinya Ohminami; Yoshihiro Yamakawa; Hiroyuki Shimada; Shoji Tsuji; Yoshikazu Ugawa
Journal:  Exp Brain Res       Date:  2012-01-11       Impact factor: 1.972

3.  Comparison of two different analysis approaches for DTI free-water corrected and uncorrected maps in the study of white matter microstructural integrity in individuals with depression.

Authors:  Maurizio Bergamino; Rayus Kuplicki; Teresa A Victor; Yoon-Hee Cha; Martin P Paulus
Journal:  Hum Brain Mapp       Date:  2017-06-20       Impact factor: 5.038

4.  Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Authors:  Martin Dyrba; Michel Grothe; Thomas Kirste; Stefan J Teipel
Journal:  Hum Brain Mapp       Date:  2015-02-09       Impact factor: 5.038

5.  Structural integrity in subjective cognitive decline, mild cognitive impairment and Alzheimer's disease based on multicenter diffusion tensor imaging.

Authors:  Katharina Brueggen; Martin Dyrba; Arturo Cardenas-Blanco; Anja Schneider; Klaus Fliessbach; Katharina Buerger; Daniel Janowitz; Oliver Peters; Felix Menne; Josef Priller; Eike Spruth; Jens Wiltfang; Ruth Vukovich; Christoph Laske; Martina Buchmann; Michael Wagner; Sandra Röske; Annika Spottke; Janna Rudolph; Coraline D Metzger; Ingo Kilimann; Laura Dobisch; Emrah Düzel; Frank Jessen; Stefan J Teipel
Journal:  J Neurol       Date:  2019-06-21       Impact factor: 4.849

6.  The Glutamatergic Postrhinal Cortex-Ventrolateral Orbitofrontal Cortex Pathway Regulates Spatial Memory Retrieval.

Authors:  Xinyang Qi; Zhanhong Jeff Du; Lin Zhu; Xuemei Liu; Hua Xu; Zheng Zhou; Cheng Zhong; Shijiang Li; Liping Wang; Zhijun Zhang
Journal:  Neurosci Bull       Date:  2019-01-02       Impact factor: 5.203

Review 7.  Disconnected aging: cerebral white matter integrity and age-related differences in cognition.

Authors:  I J Bennett; D J Madden
Journal:  Neuroscience       Date:  2013-11-23       Impact factor: 3.590

8.  Early deprivation, atypical brain development, and internalizing symptoms in late childhood.

Authors:  J Bick; N Fox; C Zeanah; C A Nelson
Journal:  Neuroscience       Date:  2015-09-16       Impact factor: 3.590

9.  Re-examining age-related differences in white matter microstructure with free-water corrected diffusion tensor imaging.

Authors:  Jordan A Chad; Ofer Pasternak; David H Salat; J Jean Chen
Journal:  Neurobiol Aging       Date:  2018-08-01       Impact factor: 4.673

10.  A preliminary diffusional kurtosis imaging study of Parkinson disease: comparison with conventional diffusion tensor imaging.

Authors:  Koji Kamagata; Hiroyuki Tomiyama; Taku Hatano; Yumiko Motoi; Osamu Abe; Keigo Shimoji; Kouhei Kamiya; Michimasa Suzuki; Masaaki Hori; Mariko Yoshida; Nobutaka Hattori; Shigeki Aoki
Journal:  Neuroradiology       Date:  2014-01-28       Impact factor: 2.804

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